Steps:
Match result probabilities directly proportional to quality
## `geom_smooth()` using formula 'y ~ x'
## `geom_smooth()` using formula 'y ~ x'
Match result probabilities directly proportional to quality + weight of home/away win is home/away team’s quality score + weight of draw is mean of home/away team weight * a random value between 0 and 1 + probabilites are each results weight divided by sum of weights
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## `geom_smooth()` using formula 'y ~ x'
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## `geom_smooth()` using formula 'y ~ x'
Match result probabilities directly proportional to quality
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## `geom_smooth()` using formula 'y ~ x'
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## `geom_smooth()` using formula 'y ~ x'
Match result probabilities directly proportional to quality
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## `geom_smooth()` using formula 'y ~ x'
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## Warning in py_to_r.pandas.core.frame.DataFrame(x): index contains duplicated
## values: row names not set
## `geom_smooth()` using formula 'y ~ x'